Sharp estimates for the Laplacian torsional rigidity with negative Robin boundary conditions

Abstract Motivated by pioneering works of Bandle and Wagner, given a bounded Lipschitz domain with , we consider the Robin–Laplacian torsional rigidity with negative boundary parameter and we show that sharp inequalities for hold if is small enough. In particular, we prove that, if is smaller than the first non‐trivial Steklov–Laplacian eigenvalue, then the ball maximises among all convex domains under perimeter or volume constraints. This solves an open problem raised in [5]. We also prove the result in the planar case among simply connected sets and under perimeter constraint.

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Publication Details

Journal
Bulletin of the London Mathematical Society
Published
2026-05-29
DOI
https://doi.org/10.1112/blms.70407
Primary Topic
Nonlinear Partial Differential Equations
Type
article
Field-Weighted Citation Impact
0.00

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article

Sharp estimates for the Laplacian torsional rigidity with negative Robin boundary conditions

Gloria Paoli, Nunzia Gavitone, David Krejčiřík
Bulletin of the London Mathematical Society
Nonlinear Partial Differential Equations
article

Sharp estimates for the Laplacian torsional rigidity with negative Robin boundary conditions

Gloria Paoli, Nunzia Gavitone, David Krejčiřík
article en

Abstract

Abstract Motivated by pioneering works of Bandle and Wagner, given a bounded Lipschitz domain with , we consider the Robin–Laplacian torsional rigidity with negative boundary parameter and we show that sharp inequalities for hold if is small enough. In particular, we prove that, if is smaller than the first non‐trivial Steklov–Laplacian eigenvalue, then the ball maximises among all convex domains under perimeter or volume constraints. This solves an open problem raised in [5]. We also prove the result in the planar case among simply connected sets and under perimeter constraint.

Bulletin of the London Mathematical SocietyVol. 58(6)
Czech Technical University in Prague (CZ), University of Naples Federico II (IT)
Istituto Nazionale di Alta Matematica "Francesco Severi", Gruppo Nazionale per l'Analisi Matematica, la Probabilità e le loro Applicazioni
Openalex Percentile: Top 3%
Nonlinear Partial Differential Equations
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